Skip to main navigation Skip to search Skip to main content

Fault detection method applied to a redundant strapdown inertial navigation system

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A fault detection method applied to a redundant strapdown inertial navigation system, which usually undergoes rapid maneuvers, is developed in this paper. First, an improved four-points detection scheme that can significantly reduce the probability of false alarm of the generalized likelihood test(GLT) is present. Then, based on analyzing influences on the fault detection performance caused by the misalignment and scale fator errors and the random bias of a gyroscope, a parity vector error model is constructed and sequently the Kalman filtering scheme to compensate the parity vector error is designed. By example of a redundant measurement unit with four single-freedom-degree gyros, the fault detection method has been analyzed qualitatively and quantitatively through simulation tests. Simulation results demonstrate the favorable performance of the method.

Original languageEnglish
Title of host publicationMaterials Science and Engineering
Pages1242-1247
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event2010 International Conference on Materials Science and Engineering Science, ICMSES 2010 - Shenzhen, China
Duration: 11 Dec 201012 Dec 2010

Publication series

NameAdvanced Materials Research
Volume179-180
ISSN (Print)1022-6680

Conference

Conference2010 International Conference on Materials Science and Engineering Science, ICMSES 2010
Country/TerritoryChina
CityShenzhen
Period11/12/1012/12/10

Keywords

  • Four-points detection
  • GLT
  • Parity vector compensation
  • The probability of false alarm

Fingerprint

Dive into the research topics of 'Fault detection method applied to a redundant strapdown inertial navigation system'. Together they form a unique fingerprint.

Cite this